Invention Publication
- Patent Title: GENERATING AUDIO USING AUTO-REGRESSIVE GENERATIVE NEURAL NETWORKS
-
Application No.: US18463092Application Date: 2023-09-07
-
Publication No.: US20240078412A1Publication Date: 2024-03-07
- Inventor: Neil Zeghidour , David Grangier , Marco Tagliasacchi , Raphaël Marinier , Olivier Teboul , Zalán Borsos
- Applicant: Google LLC
- Applicant Address: US CA Mountain View
- Assignee: Google LLC
- Current Assignee: Google LLC
- Current Assignee Address: US CA Mountain View
- Main IPC: G06N3/0455
- IPC: G06N3/0455 ; G06N3/0475

Abstract:
Methods, systems, and apparatus, including computer programs encoded on computer storage media, for generating a prediction of an audio signal. One of the methods includes receiving a request to generate an audio signal; obtaining a semantic representation of the audio signal; generating, using one or more generative neural networks and conditioned on at least the semantic representation, an acoustic representation of the audio signal; and processing at least the acoustic representation using a decoder neural network to generate the prediction of the audio signal.
Public/Granted literature
- US12020138B2 Generating audio using auto-regressive generative neural networks Public/Granted day:2024-06-25
Information query